According to the table REF , Mohammadi's and Saniee's study [1]}, and a more comprehensive study [2]} would be considered the firsts to apply the EAs on steganalysis. IFAB significantly minimizes the feature dimension and selects 80 features out of 686 SPAM (Subtractive Pixel Adjacency Matrix) attributes. IFAB also shrinks the CC-PEV (Cartesian Calibrated features by PEVny) feature dimension well by selecting 250 features out of 548. The Final accuracy of IFAB is 60.98 and 68.22 for SPAM and CC-PEV datasets, respectively.
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